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Research synthesis is AI-generated, human reviewed. Updated 08/2026.
Showing 211 - 240 of 1627 results
From Surface Learning To Deep Understanding: A Grounded AI Tutoring System For Moodle
Anna Ostrowska, Michał Kukla, Gabriela Majstrak, Jan Opala, Sebastian Pergała, Jan Skwarek, Anna Wroblewska ´. (05/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support, Organizing
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Durable Skills, Other
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersCan Providing Feedback On Gaze And Mental-Effort Synchrony Improve Pair Programming Performance?
Anahita Golrang, Kshitij Sharma. (05/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Social Emotional
Study design: Impact – Randomized Controlled Trial, Quantitative – OthersTaklif.AI: LLM-Powered Platform For Interest-Based Personalized College Assignments
Zaki Kurdya, Mohammed Zuqlam, Salem Amassi, Shady Telbany, Motaz Saad. (05/2026). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersLearnmate^2: Design And Evaluation Of An LLM-Powered Personalized And Adaptive Support System For Online Learning
Xinyu Jessica Wang, Christine P Lee, Bilge Mutlu. (05/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Quantitative – OthersThe Missing Evaluation Axis: What 10,000 Student Submissions Reveal About AI Tutor Effectiveness
Rose Niousha, Samantha Boatright Smith, Bita Akram, Peter Brusilovsky, Arto Hellas, Juho Leinonen, John DeNero, and Narges Norouzi. (05/2026). arXiv.
… Current Artificial Intelligence (AI)-based tutoring systems (AI tutors) are primarily evaluated based on the pedagogical … do with the feedback they receive? We argue that AI tutor evaluation should be extended with a behavioral …What is the application? Teaching – Assessment and Feedback
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic
Study design: Quantitative – OthersAlcofe: Implementation And Deployment Of An AI-Based Collaborative Feedback System For Higher Education
Alvaro Becerra, Alejandra Palma, Ruth Cobos. (05/2026). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product DevelopmentLata: A Drop-In, Ferpa-Compliant Local-LLM Autograder For Upper-Division STEM Coursework
Jesse A. Rodríguez. (05/2026). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic
Study design: Descriptive – Product Development, Impact – Quasi–experimental, Quantitative – OthersThe Pedagogy Of AI Mistakes: Fostering Higher-Order Thinking
Hadi Hosseini. (05/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Quantitative – OthersA Meta-Analysis Of The Effect Of Generative AI On Productivity And Learning In Programming
Sebastian Maier, Moritz Gunzenhäuser, Jonas Schweisthal, Manuel Schneider, Stefan Feuerriegel. (05/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student, Others
Which age? Middle School (6-8), High School (9-12), Post-Secondary, Adult
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Systematic ReviewAissa: Implementation And Deployment Of An AI-Based Student Slides Analysis Tool For Academic Presentations
Alvaro Becerra, Diego Gomez and Ruth Cobos. (05/2026). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Quantitative – OthersCognitive Twins: Investigating Personalized Thinking Model Building And Its Performance Enhancement With Human-In-The-Loop
Wu-Yuin Hwang, Nur Alif Ilyasa, Muhammad Irfan Luthfi, and Yuniar Indrihapsari. (05/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Technical – Computational, Quantitative – OthersDramaturgies Of Deception: AI Humanizers And The Performance Of Legitimacy In Higher Education Assessment: A Preprint
Jasper Roe, Mike Perkins, Peter Bannister, Leon Furze, James Wood. (05/2026). arXiv.
What is the application?
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency
Study design: Descriptive – Product DevelopmentAutomatic Reflection Level Classification In Hungarian Student Essays
Zsolt Csibi, Kristian Fenech, Mónika Sándor, Mónika Serfőző, Kinga Gyöngy. (05/2026). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Durable Skills
Study design: Technical – ComputationalInvestigating The Effects Of Different Levels Of User Control In An Interactive Educational Recommender System
QURAT UL AIN, MOHAMED AMINE CHATTI, WILLIAM KANA TSOPLEFACK, RAWAA ALA TRASH, SHOEB JOARDER. (05/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Differentiation, Other
Study design: Impact – Randomized Controlled TrialThe Impact Of Coercive, Normative, And Mimetic Stress On Chinese Teachers'Continuance Intention To Use Generative AI: An Integrated Perspective Of The Expectation-Confirmation Model And Institutional Theory
Kunjie Jia, Kai Cui, Huimin He, Yiran Du. (05/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Efficiency
Study design: Descriptive – Implementation and Use, Quantitative – OthersAI Adoption Among Teachers: Insights On Concerns, Support, Confidence, And Attitudes
Vanessa Baltazar Sibug, Maria Anna David Cruz, Vicky Pineda Vital, Juvy Cruz Grume, Almer Balingit Gamboa, Emerson Quiambao Fernando, Lloyd David Feliciano, Jordan Lansang Salenga, John Paul Palo Miranda. (05/2026). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Educator
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Differentiation
Study design: Quantitative – OthersPedagogical Promise And Peril Of AI: A Text Mining Analysis Of ChatGPT Research Discussions In Programming Education
Juvy C. Grume, John Paul P. Miranda, Aileen P. De Leon, Jordan L. Salenga, Hilene E. Hernandez, Mark Anthony A. Castro, Vernon Grace M. Maniago, Joel D. Canlas, Joel B. Quiambao. (05/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student, Educator
Which age? High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Technical – Computational, Systematic ReviewWhat Don'T You Understand? Using Large Language Models To Identify And Characterize Student Misconceptions About Challenging Topics
Michael J. Parker, María G. Zavala-Cerna. (04/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Technical – Computational, Quantitative – OthersProfiles Of AI Dependency: A Latent Class Analysis Of Filipino Students' Academic Competencies
Emerson Quiambao Fernando, Julius Ceazar Gatchalian Tolentino, Maria Anna David Cruz, Jordan Lansang Salenga, Vernon Grace Magat Maniago, Juvy Cruz Grume, Erika Mamucud Pineda, Aileen Pobre De Leon, John Paul Palo Miranda. (04/2026). arXiv.
What is the application? Teaching – Instructional Materials, Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Literacy, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Quantitative – OthersMath Education Digital Shadows For Facilitating Learning With LLMs: Math Performance, Anxiety And Confidence In Simulated Students And Ais
Naomi Esposito, Anthony Tricarico, Luisa Porzio, Ali Aghazadeh Ardebili, and Massimo Stella. (04/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Others
Which age? High School (9-12), Post-Secondary
Why use AI? Outcomes – Numeracy, Outcomes – Durable Skills, Reimagined Schooling
Study design: Descriptive – Product Development, Technical – ComputationalExploring The Adoption Intention In Using AI-Enabled Educational Tools Among Preservice Teachers In The Philippines: A Partial-Least Square Modeling
Vanessa Baltazar Sibug, Emerson Quiambao Fernando, Almer Balingit Gamboa, Roque Francis Badajos Dianelo, Agnes Romero Regala, Joseph Alexander Bansil, Jan Henry Beltran Sunga, Vernon Grace Magat Maniago, John Paul Palo Miranda. (04/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback
Who is the user? Educator
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Other
Study design: Quantitative – OthersBibliometric Mapping Of AI-Supported Social Presence In Online Learning Environments: Trends, Collaboration, And Thematic Directions
Almer Balingit Gamboa, Erika Mamucud Pineda, Rhiziel Peña Manalese, Aileen Pobre De Leon, Vernon Grace Magat Maniago, Jan Henry Beltran Sunga, Agnes Romero Regala, Roque Francis Badajos Dianelo, John Paul Palo Miranda. (04/2026). arXiv.
What is the application? Learning – Student Support, Communicating / Social Tools
Who is the user?
Which age? Post-Secondary
Why use AI? Outcomes – Differentiation, Outcomes – Social Emotional, Other
Study design: Systematic ReviewUnpacking Vibe Coding: Help-Seeking Processes In Student-AI Interactions While Programming
Daiana Rinja, Eduardo Araujo Oliveira, Sonsoles L‚àö‚â•pez-Pernas, Mohammed Saqr, Marcus Specht, and Kamila Misiejuk. (04/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Other Academic, Outcomes – Durable Skills
Study design: Quantitative – OthersHuman-In-The-Loop Benchmarking Of Heterogeneous LLMs For Automated Competency Assessment In Secondary Level Mathematics
Jatin Bhusal, Nancy Mahatha, Aayush Acharya, Raunak Regmi. (04/2026). arXiv.
What is the application? Teaching – Assessment and Feedback
Who is the user? Educator
Which age? High School (9-12)
Why use AI? Efficiency, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Technical – Computational, Quantitative – OthersFrom Test-Taking To Cognitive Scaffolding: A Pedagogical Diagnostic Benchmark For LLMs On English Standardized Tests
Luoxi Tang, Tharunya Sundar, Yuqiao Meng, Shuai Yang, Ankita Patra, Lakshmi Manohar Chippada, Jiqian Zhao, Yi Li, Weicheng Ma, Zhaohan Xi. (04/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user?
Which age? High School (9-12), Post-Secondary
Why use AI? Outcomes – Literacy, Outcomes – Numeracy, Outcomes – Differentiation
Study design: Descriptive – Product Development, Technical – ComputationalNow's The Time: Computer Science Must Evolve To Emphasize Software And Systems Engineering With Artificial Intelligence (AI)
Chandra N. Sekharan, George K. Thiruvathukal. (04/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Durable Skills, Reimagined Schooling
Study design:Tracing Genai Literacy: Uncovering Student-AI Interaction Patterns In Academic Writing Through Epistemic Network Analysis
Angxuan Chen, Jiyou Jia. (04/2026). arXiv.
What is the application? Learning – Student Support
Who is the user? Student
Which age? Post-Secondary
Why use AI? Outcomes – Literacy
Study design: Descriptive – Implementation and Use, Quantitative – OthersMaic-Ui: Making Interactive Courseware With Generative Ui
Shangqing Tu, Yanjia Li, Keyu Chen, Sichen Zhang, Jifan Yu, Daniel Zhang-Li, Lei Hou, Juanzi Li, Yu Zhang, Huiqin Liu. (04/2026). arXiv.
What is the application? Teaching – Instructional Materials
Who is the user? Student, Educator
Which age? Middle School (6-8), High School (9-12)
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Implementation and Use, Descriptive – Product Development, Impact – Randomized Controlled Trial, Impact – Quasi–experimental, Technical – ComputationalCuriosity And Metacognition: Towards A Unified Framework For Learning And Education In The Age Of AI
Chloé Desvaux, Rania Abdelghani, Pierre-Yves Oudeyer, Hélène Sauzéon. (04/2026). arXiv.
What is the application? Teaching – Instructional Materials, Teaching – Assessment and Feedback, Learning – Student Support
Who is the user? Student
Which age? Elementary (PK5), Middle School (6-8), High School (9-12), Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Systematic ReviewTutor, Not Solver: Designing A Guardrailed AI Assistant For Learning In Higher Education: A Design Case Of Petechat
Belle Li, Lily Tan, Wei Zakharov, Qiang Qiu, Colby Ben Acton. (04/2026). arXiv.
What is the application? Teaching – Assessment and Feedback, Learning – Student Support, Organizing
Who is the user? Student, Educator
Which age? Post-Secondary
Why use AI? Efficiency, Outcomes – Other Academic, Outcomes – Differentiation, Outcomes – Durable Skills
Study design: Descriptive – Product Development, Systematic Review
